In this research, we propose the concept of the “QOD (The Quality Of Driving)”. We have already established the method for quantifying the state of driving, and then estimate the “QOD”. To evaluate the “QOD” of the driving state in actual urban road, we adopted three parameters: the degree of the meandering, the stability of the acceleration, and the sufficiency of the distance between own vehicle and the vehicle ahead. In our system, we measure these parameters from the sequence of images taken by the camera placed on the dashboard of our vehicle, and evaluate the “QOD”. Specifically, we acquire the FOE (Focus Of Expansion) by using the optical flow vectors obtained from the sequence of images, and calculate the yaw rate of our vehicle, to get the amount of meandering. Next, velocity of the car is obtained from a velocity sensor and the stability of the acceleration is computed. Finally, we extract the domain of the self-lane in road images through the Hough Transform and then detect the horizontal edges within the domain. The front vehicle can be detected from the optical flow vectors emerging out from these edges. Then we calculate the distance between own vehicle and the vehicle ahead by using a camera parameter. The distance between two vehicles is computed by considering the relationship between the distance and the velocity.